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insta_scraper/README.md

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# Instagram Profile Scraper
Scrapes the last N posts from a list of Instagram profiles and saves the results as CSV and Markdown. Uses Playwright with a real authenticated browser session — no API keys required.
## What it does
1. Reads a list of Instagram profile URLs from `profiles.txt`
2. Opens a Chromium browser (visible, non-headless)
3. On first run: prompts you to log in manually, then saves the session to `auth_state.json`
4. On subsequent runs: reuses the saved session automatically
5. Visits each profile, collects the last 5 post URLs
6. Visits each post and extracts: date, caption, likes, image URLs, hashtags, mentions, location, media type
7. Writes combined results to `output.csv` and `output.md`
## Setup
Requires Python 3.11+ and [uv](https://docs.astral.sh/uv/).
```bash
git clone <repo-url>
cd instagram-scraper
uv sync
uv run playwright install chromium
```
## Configuration
**`profiles.txt`** — one Instagram profile URL per line. Lines can optionally be prefixed with a number and tab (the scraper strips them):
```
https://www.instagram.com/username1/
https://www.instagram.com/username2/
https://www.instagram.com/username3/
```
**Constants in `scraper.py`** (edit directly):
| Constant | Default | Description |
|---|---|---|
| `POSTS_PER_PROFILE` | `5` | How many posts to scrape per profile |
| `PROFILES_FILE` | `profiles.txt` | Input file path |
| `OUTPUT_CSV` | `output.csv` | CSV output path |
| `OUTPUT_MD` | `output.md` | Markdown output path |
## Usage
```bash
uv run python scraper.py
```
On first run, a Chromium window opens. Log in to Instagram, then press Enter in the terminal. The session is saved to `auth_state.json` and reused on future runs.
If Instagram logs you out, delete `auth_state.json` and run again.
## Output
### CSV (`output.csv`)
One row per post with these columns:
| Column | Description |
|---|---|
| `profile` | Instagram username |
| `post_url` | Full URL of the post |
| `date` | ISO 8601 datetime (e.g. `2026-02-23T15:28:13.000Z`) |
| `caption` | Full post caption text |
| `likes` | Like count (as displayed) |
| `image_urls` | Comma-separated CDN image URLs |
| `hashtags` | Comma-separated hashtags from caption |
| `mentions` | Comma-separated @mentions from caption |
| `location` | Location tag text (empty if none) |
| `media_type` | `photo`, `video`, or `carousel` |
### Markdown (`output.md`)
Same data, grouped by profile. Each post is a section with all fields as a bullet list.
## Error handling
- Private or unavailable profiles: skipped with a warning, scraping continues
- Individual post failures: skipped with a warning, scraping continues
- Missing fields: stored as empty string, no crash
- Keyboard interrupt (Ctrl+C): saves whatever has been collected so far
## Files
```
instagram-scraper/
├── scraper.py # main script
├── profiles.txt # input: list of profile URLs
├── pyproject.toml # project metadata and dependencies
├── tests/
│ └── test_parsers.py # unit tests for parsing functions
├── auth_state.json # saved session (created on first run, gitignored)
├── output.csv # results (gitignored)
└── output.md # results (gitignored)
```
## Running tests
```bash
uv run pytest tests/ -v
```
## Notes
- Works with public profiles. Private profiles are skipped.
- Instagram rate-limits aggressive scraping. The script adds a 1.5s wait between post requests.
- Session cookies expire periodically. Delete `auth_state.json` to re-authenticate.
- Image URLs are CDN URLs that expire after some time — download them promptly if needed.